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ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 1 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
BMCBI
2005
190views more  BMCBI 2005»
15 years 4 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
DKE
2007
101views more  DKE 2007»
15 years 4 months ago
Parameterized pattern queries
We introduce parameterized pattern queries as a new paradigm to extend traditional pattern expressions over sequence databases. A parameterized pattern is essentially a string mad...
Cédric du Mouza, Philippe Rigaux, Michel Sc...
FUIN
2010
172views more  FUIN 2010»
15 years 1 months ago
Bounded Parametric Verification for Distributed Time Petri Nets with Discrete-Time Semantics
Bounded Model Checking (BMC) is an efficient technique applicable to verification of temporal properties of (timed) distributed systems. In this paper we show for the first time ho...
Michal Knapik, Wojciech Penczek, Maciej Szreter, A...
BMCBI
2006
157views more  BMCBI 2006»
15 years 4 months ago
Determination of the minimum number of microarray experiments for discovery of gene expression patterns
Background: One type of DNA microarray experiment is discovery of gene expression patterns for a cell line undergoing a biological process over a series of time points. Two import...
Fang-Xiang Wu, W. J. Zhang, Anthony J. Kusalik